Machine Learning

Intermediate

A subfield of AI where models learn patterns from data to make predictions or decisions, improving with experience rather than explicit rule-coding.

Full Definition

A subfield of AI where models learn patterns from data to make predictions or decisions, improving with experience rather than explicit rule-coding.

Keywords

statistical learning data-driven

Domains

Machine Learning

Related Terms

Artificial Intelligence narrower than

The field of building systems that perform tasks associated with human intelligence—perception, reasoning, language, ...

 Deep Learning narrower than

A branch of ML using multi-layer neural networks to learn hierarchical representations, often excelling in vision, sp...

 Supervised Learning narrower than

Learning a function from input-output pairs (labeled data), optimizing performance on predicting outputs for unseen i...

 Unsupervised Learning narrower than

Learning structure from unlabeled data, such as discovering groups, compressing representations, or modeling data dis...

 Reinforcement Learning narrower than

A learning paradigm where an agent interacts with an environment and learns to choose actions to maximize cumulative ...

 Semi-Supervised Learning narrower than

Training with a small labeled dataset plus a larger unlabeled dataset, leveraging assumptions like smoothness/cluster...

 Self-Supervised Learning narrower than

Learning from data by constructing “pseudo-labels” (e.g., next-token prediction, masked modeling) without manual anno...

 Transfer Learning narrower than

Reusing knowledge from a source task/domain to improve learning on a target task/domain, typically via pretrained mod...

 Meta-Learning narrower than

Methods that learn training procedures or initializations so models can adapt quickly to new tasks with little data.

 Generative Model narrower than

Models that learn to generate samples resembling training data.

 Supervised Learning related to

Learning a function from input-output pairs (labeled data), optimizing performance on predicting outputs for unseen i...

 Unsupervised Learning related to

Learning structure from unlabeled data, such as discovering groups, compressing representations, or modeling data dis...

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